Literature DB >> 23263289

Oncology drug development and approval of systemic anticancer therapy by the U.S. Food and Drug Administration.

Robert E Martell1, David Sermer, Kenneth Getz, Kenneth I Kaitin.   

Abstract

BACKGROUND: Regulatory approval of oncology drugs is the cornerstone of the development process and approval characteristics shape eventual utilization. Approval trends and characteristics provide valuable information for drug developers and regulators and ultimately affect clinicians and patients.
METHODS: Indication characteristics were tabulated for drugs approved by the U.S. Food and Drug Administration (FDA) for systemic therapy of malignancies from 1949 through October 2011. Variables included time to approval, initial/supplemental indication, tumor type, stage of disease, specification of protein expression or genetic information, drug class, trial design, concomitant agent, trial size, and endpoint.
RESULTS: A total of 121 unique anticancer agents, including 242 unique indications, were approved. The number of trials for each indication has decreased; however, trial size has increased and more randomized controlled trials have been performed. Trial designs have increasingly used time-to-event endpoints and rarely have used symptom-based primary endpoints. Approvals have been primarily single agent, with less emphasis on palliative treatments and increasing emphasis on advanced disease stages and requirements for prior therapy. Molecular specifications in labels have increased, but they are present in less than 30% of recent indications and are not associated with shorter approval times.
CONCLUSION: Approval of oncology agents is occurring in increasingly more challenging settings, suggesting gaps between eventual practice and development in potentially suboptimal indications. Molecular specifications promise to enhance development, yet widespread use in label indications has not yet been achieved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23263289      PMCID: PMC3556246          DOI: 10.1634/theoncologist.2012-0235

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  37 in total

1.  The 'not invented here' myth.

Authors:  Kasper Lou; Mark de Rond
Journal:  Nat Rev Drug Discov       Date:  2006-06       Impact factor: 84.694

Review 2.  Economics of new oncology drug development.

Authors:  Joseph A DiMasi; Henry G Grabowski
Journal:  J Clin Oncol       Date:  2007-01-10       Impact factor: 44.544

Review 3.  Targeted agents: the rules of combination.

Authors:  Eunice L Kwak; Jeffrey W Clark; Bruce Chabner
Journal:  Clin Cancer Res       Date:  2007-09-15       Impact factor: 12.531

Review 4.  A review of phase 2-3 clinical trial designs.

Authors:  Peter F Thall
Journal:  Lifetime Data Anal       Date:  2007-09-02       Impact factor: 1.588

5.  Optimising the design of phase II oncology trials: the importance of randomisation.

Authors:  Mark J Ratain; Daniel J Sargent
Journal:  Eur J Cancer       Date:  2008-12-06       Impact factor: 9.162

6.  Predictive biomarkers in the development of oncology drugs: a therapeutic industry perspective.

Authors:  B M Fine; L Amler
Journal:  Clin Pharmacol Ther       Date:  2009-03-18       Impact factor: 6.875

Review 7.  Clinical trials of novel and targeted therapies: endpoints, trial design, and analysis.

Authors:  Vera J Suman; Amylou Dueck; Daniel J Sargent
Journal:  Cancer Invest       Date:  2008-06       Impact factor: 2.176

8.  Availability of anticancer drugs in the United States, Europe, and Japan from 1960 through 1991.

Authors:  J S Brown; B Bienz-Tadmor; L Lasagna
Journal:  Clin Pharmacol Ther       Date:  1995-09       Impact factor: 6.875

Review 9.  50 years of preclinical anticancer drug screening: empirical to target-driven approaches.

Authors:  Marie Suggitt; Michael C Bibby
Journal:  Clin Cancer Res       Date:  2005-02-01       Impact factor: 12.531

Review 10.  Contemporary pre-clinical development of anticancer agents--what are the optimal preclinical models?

Authors:  Giovanna Damia; Maurizio D'Incalci
Journal:  Eur J Cancer       Date:  2009-09-15       Impact factor: 9.162

View more
  8 in total

1.  NOD-scidIl2rg (tm1Wjl) and NOD-Rag1 (null) Il2rg (tm1Wjl) : a model for stromal cell-tumor cell interaction for human colon cancer.

Authors:  Justin Maykel; Jian Hua Liu; Hanchen Li; Leonard D Shultz; Dale L Greiner; JeanMarie Houghton
Journal:  Dig Dis Sci       Date:  2014-05-06       Impact factor: 3.199

Review 2.  Challenges in translating endpoints from trials to observational cohort studies in oncology.

Authors:  Anne Gulbech Ording; Deirdre Cronin-Fenton; Vera Ehrenstein; Timothy L Lash; John Acquavella; Mikael Rørth; Henrik Toft Sørensen
Journal:  Clin Epidemiol       Date:  2016-06-11       Impact factor: 4.790

3.  Modeling timelines for translational science in cancer; the impact of technological maturation.

Authors:  Laura M McNamee; Fred D Ledley
Journal:  PLoS One       Date:  2017-03-27       Impact factor: 3.240

4.  The Comparative Effectiveness of Innovative Treatments for Cancer (CEIT-Cancer) project: Rationale and design of the database and the collection of evidence available at approval of novel drugs.

Authors:  Aviv Ladanie; Benjamin Speich; Florian Naudet; Arnav Agarwal; Tiago V Pereira; Francesco Sclafani; Juan Martin-Liberal; Thomas Schmid; Hannah Ewald; John P A Ioannidis; Heiner C Bucher; Benjamin Kasenda; Lars G Hemkens
Journal:  Trials       Date:  2018-09-19       Impact factor: 2.279

Review 5.  Expanded access to investigational drugs: balancing patient safety with potential therapeutic benefits.

Authors:  Elena Fountzilas; Rabih Said; Apostolia M Tsimberidou
Journal:  Expert Opin Investig Drugs       Date:  2018-01-22       Impact factor: 6.206

Review 6.  Medicinal Plants from Brazilian Cerrado: Antioxidant and Anticancer Potential and Protection against Chemotherapy Toxicity.

Authors:  José Tarcísio de Giffoni de Carvalho; Débora da Silva Baldivia; Daniel Ferreira Leite; Laura Costa Alves de Araújo; Priscilla Pereira de Toledo Espindola; Katia Avila Antunes; Paola Santos Rocha; Kely de Picoli Souza; Edson Lucas Dos Santos
Journal:  Oxid Med Cell Longev       Date:  2019-08-25       Impact factor: 6.543

7.  Generating Real-World Tumor Burden Endpoints from Electronic Health Record Data: Comparison of RECIST, Radiology-Anchored, and Clinician-Anchored Approaches for Abstracting Real-World Progression in Non-Small Cell Lung Cancer.

Authors:  Sandra D Griffith; Melisa Tucker; Bryan Bowser; Geoffrey Calkins; Che-Hsu Joe Chang; Ellie Guardino; Sean Khozin; Josh Kraut; Paul You; Deb Schrag; Rebecca A Miksad
Journal:  Adv Ther       Date:  2019-05-28       Impact factor: 3.845

8.  Optimized Image-Based Surrogate Endpoints in Targeted Therapies for Glioblastoma: A Systematic Review and Meta-Analysis of Phase III Randomized Controlled Trials.

Authors:  Chong Hyun Suh; Ho Sung Kim; Seung Chai Jung; Choong Gon Choi; Sang Joon Kim; Kyung Won Kim
Journal:  Korean J Radiol       Date:  2020-04       Impact factor: 3.500

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.